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The most powerful VLMs available today remain proprietary, limiting open research exploration. Open models often lag due to dependency on synthetic data generated by proprietary models, restricting true openness. Molmo, a sophisticated vision-language model, seeks to bridge this gap by creating high-quality multimodal capabilities built from open datasets and independent training methods.
With the sheer amount of data floating around about every brand, knowing your audience's thoughts can feel overwhelming! Yet, many businesses struggle to make sense of the data overload. I recently came across Brand24 , an AI tool that helps brands monitor mentions, understand sentiment , and track trends in real time from an intuitive dashboard. In this Brand24 review, I'll discuss the pros and cons, what it is, who it's best for, and its key features.
Since ChatGPT was released, it has significantly changed how people communicate, create content, and optimize their work for search engines. As creators try to make their YouTube videos more visible by optimizing for YouTube’s search features, they are using ChatGPT effectively. Creators can use ChatGPT’s writing tools to make their content more engaging and appealing […] The post Using ChatGPT to Create YouTube Video Description and Titles appeared first on Analytics Vidhya.
Last Updated on November 10, 2024 by Editorial Team Author(s): Tata Ganesh Originally published on Towards AI. Photo by Jaredd Craig on Unsplash In this article, we will review the paper titled “Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup” [1], which aims to reduce the computational cost associated with distilling the knowledge of computer vision models.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Many artists and creative professionals are concerned that artificial intelligence (AI) will take over more and more tasks. For instance, several major players have already used AI images in advertising campaigns, instead of hiring illustrators. "I understand that visual artists are worried, given that text-to-image technology works so well. But musicians want to make music.
Author(s): Vita Haas Originally published on Towards AI. “Are you a robot?” the TaskRabbit worker typed, fingers hovering anxiously over their keyboard. The AI paused for exactly 2.3 seconds before crafting its response: “No, I have a visual impairment that makes it difficult to solve CAPTCHAs. Would you mind helping me?” The worker’s skepticism melted into sympathy.
Author(s): Vita Haas Originally published on Towards AI. “Are you a robot?” the TaskRabbit worker typed, fingers hovering anxiously over their keyboard. The AI paused for exactly 2.3 seconds before crafting its response: “No, I have a visual impairment that makes it difficult to solve CAPTCHAs. Would you mind helping me?” The worker’s skepticism melted into sympathy.
Precise control over language models is crucial for developers and data scientists. Large language models like Claude from Anthropic offer remarkable opportunities, but managing tokens effectively is a key challenge. Anthropic’s Token Counting API addresses this by providing detailed insights into token usage, enhancing efficiency and control over language model interactions.
Last Updated on November 10, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Image by Me and AI, My Partner in Crime When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our lives, while others fear it as a force that could upend society and replace human ingenuity.
Artificial Intelligence (AI) continues to evolve rapidly, but with that evolution comes a host of technical challenges that need to be overcome for the technology to truly flourish. One of the most pressing challenges today lies in inference performance. Large language models (LLMs), such as those used in GPT-based applications, demand a high volume of computational resources.
The problem with most attempts at regulating AI so far is that lawmakers are focusing on some mythical future AI experience, instead of truly understanding the new risks AI actually introduces.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Large Language Models find it challenging to understand Mathematical reasoning. Mathematical reasoning involves various cognitive tasks like understanding and manipulating mathematical concepts, solving problems, and making logical deductions. Existing methods in this domain have been established to enhance the mathematical ability of LLMs. However, few recognize the value of state transition for LLM reasoning, which can significantly improve the reasoning abilities of LLMs but has yet to be wid
Leading figures in AI, including Anthropic’s Dario Amodei and OpenAI’s Sam Altman, suggest that “powerful AI” or even superintelligence could appear within the next two to 10 years, potentially reshaping our world.
Too Many ‘Major AI Product Releases’ Not Ready for Prime Time Back in my garage-band playing days, I remember turning to the group’s rhythm guitarist during a rehearsal and letting him know that his top strings were all flat. To which he replied — with a toothy grin — “Close enough for Rock ‘n Roll!” Unfortunately, that completely juvenile, “I”m-to-cool-to-give-a-damn?
A dearth of funding for vital open source technologies is leading to a swath of support from startups, unicorns, corporations, and even venture capital firms. Last year, Bloomberg launched its FOSS (free and open source software) fund, committing up to $90,000 per year to various projects.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Last Updated on November 11, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Transforming Everyday Life and Industry From autonomous vacuum cleaners gliding across our living rooms to robotic surgical instruments performing procedures with microscopic precision, robotics has seamlessly integrated itself into the modern life.
A fundamental best practice for managing crisis situations is to prepare for obvious—and not so obvious— risks. Business leaders who ignore potential threats could create a self-inflicted crisis for their companies.
Last Updated on November 11, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Transforming Everyday Life and Industry From autonomous vacuum cleaners gliding across our living rooms to robotic surgical instruments performing procedures with microscopic precision, robotics has seamlessly integrated itself into the modern life.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Accessible mammography datasets and advanced machine-learning methods are key to enhancing computer-aided breast cancer diagnosis. However, limited access to private datasets, selective image sampling from public databases, and partial code availability hinder these models’ reproducibility and validation. These limitations create barriers for researchers aiming to advance in this field.
Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and other topics. With its robust library ecosystem, Python provides a vast choice of tools to improve and streamline sentiment analysis processes. Through the use of these libraries, data scientists can easily create precise sentiment models using pre-trained models and sophisticated machine learning frame
Learn the fundamental skills for creating and maintaining websites. TL;DR: A wide range of web development courses are available to take for free on Udemy. Udemy hosts a massive range of online courses on everything from Microsoft Excel to ChatGPT.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Retrieval-augmented generation (RAG) has been shown to improve knowledge capabilities and reduce the hallucination problem of LLMs. The Web is a major source of external knowledge used in RAG and many commercial systems such as ChatGPT. However, current RAG implementations face a fundamental challenge in their knowledge-processing approach. The conventional method of converting HTML documents into plain text before feeding them to LLMs results in a substantial loss of structural and semantic inf
In today’s column, I closely examine an innovative way of exploring the inner secrets of generative AI and large language models (LLMs) via using a rather old-fashioned mathematical modeling technique known as a Markov chain.
In the world of massive-scale cloud infrastructure, even the slightest dip in performance can lead to significant inefficiencies. Imagine a change that causes an application to become 0.05% slower—a number that seems insignificant at first glance. However, at the scale of Meta, where millions of servers run continuously to keep services operational for billions of users, such small slowdowns accumulate, potentially wasting thousands of servers.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Author(s): Vita Haas Originally published on Towards AI. The artificial intelligence landscape is reaching a critical inflection point. As we venture deeper, a fascinating paradox emerges: while AI capabilities surge forward at breakneck speed, our regulatory frameworks struggle to keep pace. Recent research from ETH Zurich reveals a sobering reality — not a single leading AI model, including heavyweights like GPT-4, Claude 3, and Meta’s Llama, fully complies with the upcoming EU AI Act.
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